Josh Dillon, Last Revised January 2022
This notebook examines an individual antenna's performance over a whole season. This notebook parses information from each nightly rtp_summarynotebook (as saved to .csvs) and builds a table describing antenna performance. It also reproduces per-antenna plots from each auto_metrics notebook pertinent to the specific antenna.
import os
from IPython.display import display, HTML
display(HTML("<style>.container { width:100% !important; }</style>"))
# If you want to run this notebook locally, copy the output of the next cell into the next line of this cell.
# antenna = "004"
# csv_folder = '/lustre/aoc/projects/hera/H5C/H5C_Notebooks/_rtp_summary_'
# auto_metrics_folder = '/lustre/aoc/projects/hera/H5C/H5C_Notebooks/auto_metrics_inspect'
# os.environ["ANTENNA"] = antenna
# os.environ["CSV_FOLDER"] = csv_folder
# os.environ["AUTO_METRICS_FOLDER"] = auto_metrics_folder
# Use environment variables to figure out path to the csvs and auto_metrics
antenna = str(int(os.environ["ANTENNA"]))
csv_folder = os.environ["CSV_FOLDER"]
auto_metrics_folder = os.environ["AUTO_METRICS_FOLDER"]
print(f'antenna = "{antenna}"')
print(f'csv_folder = "{csv_folder}"')
print(f'auto_metrics_folder = "{auto_metrics_folder}"')
antenna = "112" csv_folder = "/home/obs/src/H6C_Notebooks/_rtp_summary_" auto_metrics_folder = "/home/obs/src/H6C_Notebooks/auto_metrics_inspect"
display(HTML(f'<h1 style=font-size:50px><u>Antenna {antenna} Report</u><p></p></h1>'))
import numpy as np
import pandas as pd
pd.set_option('display.max_rows', 1000)
import glob
import re
from hera_notebook_templates.utils import status_colors, Antenna
# load csvs and auto_metrics htmls in reverse chronological order
csvs = sorted(glob.glob(os.path.join(csv_folder, 'rtp_summary_table*.csv')))[::-1]
print(f'Found {len(csvs)} csvs in {csv_folder}')
auto_metric_htmls = sorted(glob.glob(auto_metrics_folder + '/auto_metrics_inspect_*.html'))[::-1]
print(f'Found {len(auto_metric_htmls)} auto_metrics notebooks in {auto_metrics_folder}')
Found 60 csvs in /home/obs/src/H6C_Notebooks/_rtp_summary_ Found 58 auto_metrics notebooks in /home/obs/src/H6C_Notebooks/auto_metrics_inspect
# Per-season options
mean_round_modz_cut = 4
dead_cut = 0.4
crossed_cut = 0.0
def jd_to_summary_url(jd):
return f'https://htmlpreview.github.io/?https://github.com/HERA-Team/H6C_Notebooks/blob/main/_rtp_summary_/rtp_summary_{jd}.html'
def jd_to_auto_metrics_url(jd):
return f'https://htmlpreview.github.io/?https://github.com/HERA-Team/H6C_Notebooks/blob/main/auto_metrics_inspect/auto_metrics_inspect_{jd}.html'
this_antenna = None
jds = []
# parse information about antennas and nodes
for csv in csvs:
df = pd.read_csv(csv)
for n in range(len(df)):
# Add this day to the antenna
row = df.loc[n]
if isinstance(row['Ant'], str) and '<a href' in row['Ant']:
antnum = int(row['Ant'].split('</a>')[0].split('>')[-1]) # it's a link, extract antnum
else:
antnum = int(row['Ant'])
if antnum != int(antenna):
continue
if np.issubdtype(type(row['Node']), np.integer):
row['Node'] = str(row['Node'])
if type(row['Node']) == str and row['Node'].isnumeric():
row['Node'] = 'N' + ('0' if len(row['Node']) == 1 else '') + row['Node']
if this_antenna is None:
this_antenna = Antenna(row['Ant'], row['Node'])
jd = [int(s) for s in re.split('_|\.', csv) if s.isdigit()][-1]
jds.append(jd)
this_antenna.add_day(jd, row)
break
# build dataframe
to_show = {'JDs': [f'<a href="{jd_to_summary_url(jd)}" target="_blank">{jd}</a>' for jd in jds]}
to_show['A Priori Status'] = [this_antenna.statuses[jd] for jd in jds]
df = pd.DataFrame(to_show)
# create bar chart columns for flagging percentages:
bar_cols = {}
bar_cols['Auto Metrics Flags'] = [this_antenna.auto_flags[jd] for jd in jds]
bar_cols[f'Dead Fraction in Ant Metrics (Jee)'] = [this_antenna.dead_flags_Jee[jd] for jd in jds]
bar_cols[f'Dead Fraction in Ant Metrics (Jnn)'] = [this_antenna.dead_flags_Jnn[jd] for jd in jds]
bar_cols['Crossed Fraction in Ant Metrics'] = [this_antenna.crossed_flags[jd] for jd in jds]
bar_cols['Flag Fraction Before Redcal'] = [this_antenna.flags_before_redcal[jd] for jd in jds]
bar_cols['Flagged By Redcal chi^2 Fraction'] = [this_antenna.redcal_flags[jd] for jd in jds]
for col in bar_cols:
df[col] = bar_cols[col]
z_score_cols = {}
z_score_cols['ee Shape Modified Z-Score'] = [this_antenna.ee_shape_zs[jd] for jd in jds]
z_score_cols['nn Shape Modified Z-Score'] = [this_antenna.nn_shape_zs[jd] for jd in jds]
z_score_cols['ee Power Modified Z-Score'] = [this_antenna.ee_power_zs[jd] for jd in jds]
z_score_cols['nn Power Modified Z-Score'] = [this_antenna.nn_power_zs[jd] for jd in jds]
z_score_cols['ee Temporal Variability Modified Z-Score'] = [this_antenna.ee_temp_var_zs[jd] for jd in jds]
z_score_cols['nn Temporal Variability Modified Z-Score'] = [this_antenna.nn_temp_var_zs[jd] for jd in jds]
z_score_cols['ee Temporal Discontinuties Modified Z-Score'] = [this_antenna.ee_temp_discon_zs[jd] for jd in jds]
z_score_cols['nn Temporal Discontinuties Modified Z-Score'] = [this_antenna.nn_temp_discon_zs[jd] for jd in jds]
for col in z_score_cols:
df[col] = z_score_cols[col]
ant_metrics_cols = {}
ant_metrics_cols['Average Dead Ant Metric (Jee)'] = [this_antenna.Jee_dead_metrics[jd] for jd in jds]
ant_metrics_cols['Average Dead Ant Metric (Jnn)'] = [this_antenna.Jnn_dead_metrics[jd] for jd in jds]
ant_metrics_cols['Average Crossed Ant Metric'] = [this_antenna.crossed_metrics[jd] for jd in jds]
for col in ant_metrics_cols:
df[col] = ant_metrics_cols[col]
redcal_cols = {}
redcal_cols['Median chi^2 Per Antenna (Jee)'] = [this_antenna.Jee_chisqs[jd] for jd in jds]
redcal_cols['Median chi^2 Per Antenna (Jnn)'] = [this_antenna.Jnn_chisqs[jd] for jd in jds]
for col in redcal_cols:
df[col] = redcal_cols[col]
# style dataframe
table = df.style.hide_index()\
.applymap(lambda val: f'background-color: {status_colors[val]}' if val in status_colors else '', subset=['A Priori Status']) \
.background_gradient(cmap='viridis', vmax=mean_round_modz_cut * 3, vmin=0, axis=None, subset=list(z_score_cols.keys())) \
.background_gradient(cmap='bwr_r', vmin=dead_cut-.25, vmax=dead_cut+.25, axis=0, subset=list([col for col in ant_metrics_cols if 'dead' in col.lower()])) \
.background_gradient(cmap='bwr_r', vmin=crossed_cut-.25, vmax=crossed_cut+.25, axis=0, subset=list([col for col in ant_metrics_cols if 'crossed' in col.lower()])) \
.background_gradient(cmap='plasma', vmax=4, vmin=1, axis=None, subset=list(redcal_cols.keys())) \
.applymap(lambda val: 'font-weight: bold' if val < dead_cut else '', subset=list([col for col in ant_metrics_cols if 'dead' in col.lower()])) \
.applymap(lambda val: 'font-weight: bold' if val < crossed_cut else '', subset=list([col for col in ant_metrics_cols if 'crossed' in col.lower()])) \
.applymap(lambda val: 'font-weight: bold' if val > mean_round_modz_cut else '', subset=list(z_score_cols.keys())) \
.applymap(lambda val: 'color: red' if val > mean_round_modz_cut else '', subset=list(z_score_cols.keys())) \
.bar(subset=list(bar_cols.keys()), vmin=0, vmax=1) \
.format({col: '{:,.4f}'.format for col in z_score_cols}) \
.format({col: '{:,.4f}'.format for col in ant_metrics_cols}) \
.format('{:,.2%}', na_rep='-', subset=list(bar_cols.keys())) \
.set_table_styles([dict(selector="th",props=[('max-width', f'70pt')])])
This table reproduces each night's row for this antenna from the RTP Summary notebooks. For more info on the columns, see those notebooks, linked in the JD column.
display(HTML(f'<h2>Antenna {antenna}, Node {this_antenna.node}:</h2>'))
HTML(table.render(render_links=True, escape=False))
| JDs | A Priori Status | Auto Metrics Flags | Dead Fraction in Ant Metrics (Jee) | Dead Fraction in Ant Metrics (Jnn) | Crossed Fraction in Ant Metrics | Flag Fraction Before Redcal | Flagged By Redcal chi^2 Fraction | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | Average Dead Ant Metric (Jee) | Average Dead Ant Metric (Jnn) | Average Crossed Ant Metric | Median chi^2 Per Antenna (Jee) | Median chi^2 Per Antenna (Jnn) |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2459875 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | - | - | -0.827940 | -0.499824 | -0.823954 | 1.740926 | 0.105236 | -0.177159 | 0.305671 | -0.682232 | 0.7025 | 0.7129 | 0.4033 | nan | nan |
| 2459874 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | - | - | -0.180389 | -0.451877 | -0.908168 | 0.293568 | 0.795689 | -0.130472 | 0.978992 | -0.697461 | 0.6856 | 0.6765 | 0.3941 | nan | nan |
| 2459873 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | - | - | -0.193726 | -0.342590 | -0.667835 | 0.059689 | -0.081995 | 0.944612 | 0.292701 | -0.733825 | 0.6866 | 0.6784 | 0.3955 | nan | nan |
| 2459872 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | - | - | -0.365372 | -0.704301 | -0.884618 | 0.767575 | 0.245072 | -0.165912 | 0.678064 | -0.946682 | 0.6923 | 0.6817 | 0.3955 | nan | nan |
| 2459871 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | - | - | -0.669595 | -0.700252 | -0.967306 | 1.640161 | -0.115367 | -0.855757 | 0.535766 | -0.741761 | 0.6955 | 0.6756 | 0.3969 | nan | nan |
| 2459870 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | - | - | 0.008768 | -0.660112 | -0.751718 | 1.196189 | -0.248288 | 1.597049 | 1.196543 | -0.919502 | 0.6943 | 0.6836 | 0.4037 | nan | nan |
| 2459869 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | - | - | -0.061693 | -0.647421 | -0.869130 | 1.739606 | 0.330979 | 0.322769 | 0.353000 | -1.177335 | 0.7079 | 0.7080 | 0.3906 | nan | nan |
| 2459868 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | - | - | -0.240190 | 0.061460 | -0.880922 | 1.179100 | -0.493679 | 0.580761 | 2.997311 | -0.845115 | 0.6844 | 0.6788 | 0.4132 | nan | nan |
| 2459867 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | - | - | -0.475424 | -0.544904 | -0.967711 | 0.676791 | -0.637188 | 0.664869 | 2.136723 | -0.955329 | 0.6939 | 0.6820 | 0.4153 | nan | nan |
| 2459866 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | - | - | -0.293681 | -0.427347 | -0.739739 | 0.797077 | -0.576961 | 0.823954 | 1.115385 | -0.869293 | 0.6976 | 0.6851 | 0.4070 | nan | nan |
| 2459865 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | - | - | 0.085617 | 0.025138 | -0.838496 | -0.284525 | 0.424078 | -0.652937 | 0.637020 | -0.875611 | 0.7253 | 0.7081 | 0.3671 | nan | nan |
| 2459864 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | - | - | -0.493170 | -0.048823 | 0.565467 | -0.025836 | -0.444753 | 0.508933 | 2.976103 | -0.406738 | 0.6893 | 0.6710 | 0.4275 | nan | nan |
| 2459863 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | - | - | -1.101187 | -0.675305 | 0.379826 | 0.426509 | -0.466721 | -0.770887 | 1.196840 | -0.692309 | 0.6846 | 0.6630 | 0.4134 | nan | nan |
| 2459862 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | - | - | -1.182316 | -0.864938 | -0.089818 | -0.579176 | 0.771151 | 0.566699 | 0.555109 | -0.826524 | 0.6712 | 0.6960 | 0.4274 | nan | nan |
| 2459861 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | - | - | -1.092488 | -0.660131 | 0.389973 | 0.527415 | -0.292019 | -0.114600 | 0.843931 | -0.572067 | 0.6997 | 0.6751 | 0.4278 | nan | nan |
| 2459860 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | - | - | -1.086797 | -0.849846 | 0.000916 | -0.974527 | -0.364202 | 0.215633 | 1.399786 | -0.864949 | 0.7052 | 0.6759 | 0.4224 | nan | nan |
| 2459859 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | - | - | -1.196401 | -0.667694 | 0.360029 | 0.326435 | 0.089395 | -0.602354 | 0.893086 | -0.583077 | 0.7103 | 0.6799 | 0.4189 | nan | nan |
| 2459858 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | -1.069773 | -0.708156 | 0.394344 | 0.319586 | 0.364340 | -0.661841 | 1.248753 | -0.530637 | 0.7210 | 0.6857 | 0.4287 | 1.510529 | 1.354146 |
| 2459857 | digital_ok | 0.00% | 100.00% | 100.00% | 0.00% | - | - | -0.654215 | 0.289324 | -0.045510 | 0.029398 | 0.012195 | 0.736935 | -0.339920 | -0.090950 | 0.0275 | 0.0250 | 0.0013 | nan | nan |
| 2459856 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 3.43% | 0.57% | -0.615495 | -0.123653 | -0.242018 | -1.121556 | -0.906841 | 0.415849 | 1.296516 | -1.002387 | 0.7130 | 0.7033 | 0.4137 | 1.522500 | 1.365569 |
| 2459855 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 4.58% | 0.00% | -0.480702 | -0.329179 | -0.235140 | -1.373451 | -0.527496 | 1.248802 | 0.416970 | -0.416834 | 0.6813 | 0.7129 | 0.4581 | 1.286754 | 1.212132 |
| 2459854 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 8.93% | 0.00% | -0.762464 | -0.491468 | -0.619453 | -0.480962 | -0.326540 | 1.155378 | 0.998038 | -0.445743 | 0.7132 | 0.7406 | 0.4488 | 1.310252 | 1.232647 |
| 2459853 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.56% | -1.020192 | -0.572203 | -0.796563 | -0.367961 | -0.397118 | 0.692787 | 1.664653 | -0.953616 | 0.7345 | 0.6888 | 0.4372 | 1.395544 | 1.303880 |
| 2459852 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 8.65% | 0.00% | -1.273004 | -0.068864 | -0.886911 | -0.956186 | -0.164216 | 0.790931 | -0.908774 | -0.645797 | 0.8269 | 0.8380 | 0.2492 | 2.523003 | 2.568380 |
| 2459851 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 11.76% | 0.00% | -0.894618 | -0.736885 | -0.834662 | -0.539190 | -0.124297 | 2.324665 | 1.268352 | -0.160277 | 0.7501 | 0.7415 | 0.3544 | 1.591775 | 1.395553 |
| 2459850 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 18.02% | 0.00% | -0.809475 | -0.432397 | -0.704167 | -0.461876 | -0.767904 | 0.613999 | 1.446212 | -0.595269 | 0.7365 | 0.7585 | 0.3651 | 1.264556 | 1.241295 |
| 2459849 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 16.67% | 0.00% | -0.406595 | -0.479778 | -0.850927 | 1.473082 | -0.005451 | 2.320370 | 1.707555 | -1.220685 | 0.7340 | 0.7522 | 0.3710 | 1.386531 | 1.258701 |
| 2459848 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 30.15% | 0.00% | 0.393021 | -0.579941 | 3.421377 | 0.530274 | -0.306116 | 0.554521 | 1.772287 | -1.052871 | 0.7051 | 0.7537 | 0.3933 | 1.422471 | 1.235979 |
| 2459847 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 3.21% | 0.00% | -0.154199 | -0.651307 | 3.248347 | 0.162686 | -0.260816 | 0.589102 | 0.678178 | -0.739292 | 0.7101 | 0.6868 | 0.4439 | 1.497051 | 1.302365 |
| 2459845 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 0.943233 | -0.263012 | 4.922098 | 2.533464 | 1.471939 | 3.117453 | 0.949774 | -1.462172 | 0.7337 | 0.7519 | 0.3724 | 4.367654 | 3.735261 |
| 2459844 | digital_ok | 0.00% | 100.00% | 100.00% | 0.00% | - | - | 2.843283 | 1.919106 | -0.258435 | -0.503361 | -0.210366 | -0.060938 | -1.051228 | -1.153083 | 0.0272 | 0.0246 | 0.0016 | nan | nan |
| 2459843 | digital_ok | 0.00% | 0.66% | 0.66% | 0.00% | 15.76% | 2.72% | 0.743081 | -0.182115 | 1.986269 | 0.045846 | 2.526158 | 0.692098 | 0.748966 | -1.075600 | 0.7327 | 0.7442 | 0.4019 | 1.070826 | 0.975224 |
| 2459842 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | -0.700335 | -0.705311 | 1.368616 | -0.216149 | 0.885867 | 0.323741 | 0.689753 | 0.032495 | 0.7475 | 0.6794 | 0.2648 | 1.780680 | 1.726250 |
| 2459841 | digital_ok | 0.00% | 100.00% | 100.00% | 0.00% | - | - | 2.036700 | 2.898886 | -0.307832 | -0.603929 | -0.495964 | 3.101210 | -0.708765 | -1.044594 | 0.0268 | 0.0245 | 0.0015 | nan | nan |
| 2459840 | digital_ok | 0.00% | 100.00% | 100.00% | 0.00% | - | - | -0.546314 | -0.368849 | -1.166454 | -0.086734 | -0.809782 | 0.109561 | -1.126519 | -0.154687 | 0.0266 | 0.0232 | 0.0019 | nan | nan |
| 2459839 | digital_ok | 0.00% | - | - | - | - | - | 1.190343 | 1.090835 | -0.049217 | -0.070189 | -0.047033 | -0.387616 | -1.622757 | -0.928687 | nan | nan | nan | nan | nan |
| 2459838 | digital_ok | 100.00% | 100.00% | 100.00% | 0.00% | 100.00% | 0.00% | nan | nan | inf | inf | nan | nan | nan | nan | nan | nan | nan | 0.000000 | 0.000000 |
| 2459836 | digital_ok | - | 100.00% | 100.00% | 0.00% | - | - | nan | nan | nan | nan | nan | nan | nan | nan | 0.0344 | 0.0405 | 0.0013 | nan | nan |
| 2459835 | digital_ok | 0.00% | 100.00% | 100.00% | 0.00% | - | - | -0.223842 | 0.000016 | -0.926048 | -0.663723 | 2.752180 | 1.780128 | -0.835322 | -1.155651 | 0.0330 | 0.0362 | 0.0012 | nan | nan |
| 2459833 | digital_ok | 0.00% | 100.00% | 100.00% | 0.00% | - | - | 0.607072 | -0.404683 | -0.002638 | 0.165977 | 1.998231 | 0.732597 | -0.765154 | -0.382334 | 0.0289 | 0.0345 | 0.0016 | nan | nan |
| 2459832 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | -1.243505 | -0.497608 | -0.852050 | -0.318049 | -0.441135 | 0.621008 | -0.337279 | -1.009985 | 0.7391 | 0.4391 | 0.5679 | 1.742668 | 1.557526 |
| 2459831 | digital_ok | 0.00% | 100.00% | 100.00% | 0.00% | - | - | 0.877494 | 0.783602 | 0.313924 | 0.069880 | 0.275755 | 0.127927 | -1.236599 | -0.579634 | 0.0269 | 0.0265 | 0.0018 | nan | nan |
| 2459830 | digital_ok | 0.00% | 0.00% | 16.13% | 0.00% | 15.79% | 0.00% | -1.019285 | -0.220304 | -0.680415 | 0.174072 | 1.540686 | -0.186831 | -0.215753 | -1.451230 | 0.7351 | 0.4381 | 0.5539 | 1.888347 | 1.590011 |
| 2459829 | digital_ok | 0.00% | 0.00% | 1.61% | 0.00% | 0.65% | 0.00% | -0.238478 | 0.080341 | -0.294787 | 0.675657 | -0.476476 | 0.565873 | -0.471302 | -1.560556 | 0.6585 | 0.5714 | 0.4257 | 1.051752 | 0.994064 |
| 2459828 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | -1.064142 | -0.165695 | -0.317061 | 0.527513 | 0.015139 | -1.188114 | -0.562633 | -1.569387 | 0.7283 | 0.4483 | 0.5341 | 1.791392 | 1.735434 |
| 2459827 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | -0.262457 | -0.403197 | -0.472126 | 1.451862 | -0.535376 | -0.537901 | -0.506288 | -1.372603 | 0.6684 | 0.5819 | 0.4241 | 1.808752 | 1.612762 |
| 2459826 | digital_ok | 0.00% | 16.13% | 16.13% | 0.00% | 15.79% | 0.00% | -0.761529 | -0.144399 | -0.635034 | 1.019675 | 0.327517 | -0.771069 | -0.689917 | -1.314160 | 0.6561 | 0.4199 | 0.4608 | 1.037254 | 0.611340 |
| 2459825 | digital_ok | 0.00% | 100.00% | 100.00% | 0.00% | 100.00% | 0.00% | -0.643636 | -0.052282 | -0.440330 | -0.201119 | 0.635984 | 0.079025 | 0.848594 | 0.270922 | 0.0647 | 0.0792 | 0.0125 | 0.000000 | 0.000000 |
| 2459824 | digital_ok | 0.00% | 100.00% | 100.00% | 0.00% | 100.00% | 0.00% | -0.421671 | -0.193962 | -0.302487 | -0.176963 | 1.003177 | 0.615896 | 2.014010 | 1.590037 | 0.0656 | 0.0744 | 0.0073 | 0.000000 | 0.000000 |
| 2459823 | digital_ok | 0.00% | 100.00% | 100.00% | 0.00% | 100.00% | 0.00% | -0.707099 | -0.568193 | -0.893045 | 0.626505 | -0.395276 | -0.758145 | -0.592885 | -1.372948 | 0.0626 | 0.0718 | 0.0095 | 0.000000 | 0.000000 |
| 2459822 | digital_ok | 0.00% | 100.00% | 100.00% | 0.00% | 100.00% | 0.00% | -0.435493 | 0.047363 | -0.786527 | 1.064943 | 0.214928 | -0.204375 | 0.188030 | -0.723731 | 0.0696 | 0.0781 | 0.0130 | 0.000000 | 0.000000 |
| 2459821 | digital_ok | 0.00% | 100.00% | 100.00% | 0.00% | 100.00% | 0.00% | -0.878141 | -0.268183 | -0.803311 | 1.356829 | 1.232235 | 0.761421 | 0.733019 | 0.011930 | 0.0653 | 0.0728 | 0.0112 | 1.155287 | 1.152907 |
| 2459820 | digital_ok | 0.00% | 100.00% | 100.00% | 0.00% | 100.00% | 0.00% | 0.061474 | -0.243520 | -0.535920 | 1.293290 | -0.682635 | -0.058704 | -0.667402 | -1.391529 | 0.0639 | 0.0695 | 0.0090 | 0.000000 | 0.000000 |
| 2459817 | digital_ok | 0.00% | 100.00% | 100.00% | 0.00% | 100.00% | 0.00% | -0.535610 | -0.476118 | -0.529023 | 0.677024 | 0.340369 | -0.194575 | -0.224198 | -0.473269 | 0.0684 | 0.0804 | 0.0114 | 10.354055 | 9.002342 |
| 2459816 | digital_ok | 0.00% | 100.00% | 100.00% | 0.00% | 100.00% | 0.00% | -1.142115 | -0.265314 | -0.645989 | 0.008904 | -0.377935 | -0.678762 | -0.261776 | -1.008714 | 0.0601 | 0.0692 | 0.0124 | 1.356606 | 1.351090 |
| 2459815 | digital_ok | 0.00% | 100.00% | 100.00% | 0.00% | 100.00% | 0.00% | -0.674690 | -0.093858 | -0.568554 | 0.125450 | -0.141303 | -1.397788 | -0.575744 | -1.016663 | 0.0746 | 0.0824 | 0.0108 | 1.454408 | 1.453262 |
| 2459814 | digital_ok | 0.00% | - | - | - | - | - | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan |
| 2459813 | digital_ok | 0.00% | 100.00% | 100.00% | 0.00% | 100.00% | 0.00% | -0.090831 | -0.303569 | -0.636764 | 0.968763 | -0.775289 | -0.302046 | -0.618848 | -1.468942 | 0.0902 | 0.1024 | 0.0184 | 0.000000 | 0.000000 |
auto_metrics notebooks.¶htmls_to_display = []
for am_html in auto_metric_htmls:
html_to_display = ''
# read html into a list of lines
with open(am_html) as f:
lines = f.readlines()
# find section with this antenna's metric plots and add to html_to_display
jd = [int(s) for s in re.split('_|\.', am_html) if s.isdigit()][-1]
try:
section_start_line = lines.index(f'<h2>Antenna {antenna}: {jd}</h2>\n')
except ValueError:
continue
html_to_display += lines[section_start_line].replace(str(jd), f'<a href="{jd_to_auto_metrics_url(jd)}" target="_blank">{jd}</a>')
for line in lines[section_start_line + 1:]:
html_to_display += line
if '<hr' in line:
htmls_to_display.append(html_to_display)
break
These figures are reproduced from auto_metrics notebooks. For more info on the specific plots and metrics, see those notebooks (linked at the JD). The most recent 100 days (at most) are shown.
for i, html_to_display in enumerate(htmls_to_display):
if i == 100:
break
display(HTML(html_to_display))
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 112 | N10 | digital_ok | nn Power | 1.740926 | -0.827940 | -0.499824 | -0.823954 | 1.740926 | 0.105236 | -0.177159 | 0.305671 | -0.682232 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 112 | N10 | digital_ok | ee Temporal Discontinuties | 0.978992 | -0.180389 | -0.451877 | -0.908168 | 0.293568 | 0.795689 | -0.130472 | 0.978992 | -0.697461 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 112 | N10 | digital_ok | nn Temporal Variability | 0.944612 | -0.193726 | -0.342590 | -0.667835 | 0.059689 | -0.081995 | 0.944612 | 0.292701 | -0.733825 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 112 | N10 | digital_ok | nn Power | 0.767575 | -0.704301 | -0.365372 | 0.767575 | -0.884618 | -0.165912 | 0.245072 | -0.946682 | 0.678064 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 112 | N10 | digital_ok | nn Power | 1.640161 | -0.700252 | -0.669595 | 1.640161 | -0.967306 | -0.855757 | -0.115367 | -0.741761 | 0.535766 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 112 | N10 | digital_ok | nn Temporal Variability | 1.597049 | 0.008768 | -0.660112 | -0.751718 | 1.196189 | -0.248288 | 1.597049 | 1.196543 | -0.919502 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 112 | N10 | digital_ok | nn Power | 1.739606 | -0.061693 | -0.647421 | -0.869130 | 1.739606 | 0.330979 | 0.322769 | 0.353000 | -1.177335 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 112 | N10 | digital_ok | ee Temporal Discontinuties | 2.997311 | -0.240190 | 0.061460 | -0.880922 | 1.179100 | -0.493679 | 0.580761 | 2.997311 | -0.845115 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 112 | N10 | digital_ok | ee Temporal Discontinuties | 2.136723 | -0.475424 | -0.544904 | -0.967711 | 0.676791 | -0.637188 | 0.664869 | 2.136723 | -0.955329 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 112 | N10 | digital_ok | ee Temporal Discontinuties | 1.115385 | -0.427347 | -0.293681 | 0.797077 | -0.739739 | 0.823954 | -0.576961 | -0.869293 | 1.115385 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 112 | N10 | digital_ok | ee Temporal Discontinuties | 0.637020 | 0.085617 | 0.025138 | -0.838496 | -0.284525 | 0.424078 | -0.652937 | 0.637020 | -0.875611 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 112 | N10 | digital_ok | ee Temporal Discontinuties | 2.976103 | -0.048823 | -0.493170 | -0.025836 | 0.565467 | 0.508933 | -0.444753 | -0.406738 | 2.976103 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 112 | N10 | digital_ok | ee Temporal Discontinuties | 1.196840 | -1.101187 | -0.675305 | 0.379826 | 0.426509 | -0.466721 | -0.770887 | 1.196840 | -0.692309 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 112 | N10 | digital_ok | ee Temporal Variability | 0.771151 | -1.182316 | -0.864938 | -0.089818 | -0.579176 | 0.771151 | 0.566699 | 0.555109 | -0.826524 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 112 | N10 | digital_ok | ee Temporal Discontinuties | 0.843931 | -0.660131 | -1.092488 | 0.527415 | 0.389973 | -0.114600 | -0.292019 | -0.572067 | 0.843931 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 112 | N10 | digital_ok | ee Temporal Discontinuties | 1.399786 | -1.086797 | -0.849846 | 0.000916 | -0.974527 | -0.364202 | 0.215633 | 1.399786 | -0.864949 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 112 | N10 | digital_ok | ee Temporal Discontinuties | 0.893086 | -1.196401 | -0.667694 | 0.360029 | 0.326435 | 0.089395 | -0.602354 | 0.893086 | -0.583077 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 112 | N10 | digital_ok | ee Temporal Discontinuties | 1.248753 | -0.708156 | -1.069773 | 0.319586 | 0.394344 | -0.661841 | 0.364340 | -0.530637 | 1.248753 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 112 | N10 | digital_ok | nn Temporal Variability | 0.736935 | 0.289324 | -0.654215 | 0.029398 | -0.045510 | 0.736935 | 0.012195 | -0.090950 | -0.339920 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 112 | N10 | digital_ok | ee Temporal Discontinuties | 1.296516 | -0.615495 | -0.123653 | -0.242018 | -1.121556 | -0.906841 | 0.415849 | 1.296516 | -1.002387 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 112 | N10 | digital_ok | nn Temporal Variability | 1.248802 | -0.329179 | -0.480702 | -1.373451 | -0.235140 | 1.248802 | -0.527496 | -0.416834 | 0.416970 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 112 | N10 | digital_ok | nn Temporal Variability | 1.155378 | -0.491468 | -0.762464 | -0.480962 | -0.619453 | 1.155378 | -0.326540 | -0.445743 | 0.998038 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 112 | N10 | digital_ok | ee Temporal Discontinuties | 1.664653 | -0.572203 | -1.020192 | -0.367961 | -0.796563 | 0.692787 | -0.397118 | -0.953616 | 1.664653 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 112 | N10 | digital_ok | nn Temporal Variability | 0.790931 | -1.273004 | -0.068864 | -0.886911 | -0.956186 | -0.164216 | 0.790931 | -0.908774 | -0.645797 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 112 | N10 | digital_ok | nn Temporal Variability | 2.324665 | -0.894618 | -0.736885 | -0.834662 | -0.539190 | -0.124297 | 2.324665 | 1.268352 | -0.160277 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 112 | N10 | digital_ok | ee Temporal Discontinuties | 1.446212 | -0.809475 | -0.432397 | -0.704167 | -0.461876 | -0.767904 | 0.613999 | 1.446212 | -0.595269 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 112 | N10 | digital_ok | nn Temporal Variability | 2.320370 | -0.406595 | -0.479778 | -0.850927 | 1.473082 | -0.005451 | 2.320370 | 1.707555 | -1.220685 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 112 | N10 | digital_ok | ee Power | 3.421377 | -0.579941 | 0.393021 | 0.530274 | 3.421377 | 0.554521 | -0.306116 | -1.052871 | 1.772287 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 112 | N10 | digital_ok | ee Power | 3.248347 | -0.651307 | -0.154199 | 0.162686 | 3.248347 | 0.589102 | -0.260816 | -0.739292 | 0.678178 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 112 | N10 | digital_ok | ee Power | 4.922098 | -0.263012 | 0.943233 | 2.533464 | 4.922098 | 3.117453 | 1.471939 | -1.462172 | 0.949774 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 112 | N10 | digital_ok | ee Shape | 2.843283 | 2.843283 | 1.919106 | -0.258435 | -0.503361 | -0.210366 | -0.060938 | -1.051228 | -1.153083 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 112 | N10 | digital_ok | ee Temporal Variability | 2.526158 | -0.182115 | 0.743081 | 0.045846 | 1.986269 | 0.692098 | 2.526158 | -1.075600 | 0.748966 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 112 | N10 | digital_ok | ee Power | 1.368616 | -0.700335 | -0.705311 | 1.368616 | -0.216149 | 0.885867 | 0.323741 | 0.689753 | 0.032495 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 112 | N10 | digital_ok | nn Temporal Variability | 3.101210 | 2.036700 | 2.898886 | -0.307832 | -0.603929 | -0.495964 | 3.101210 | -0.708765 | -1.044594 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 112 | N10 | digital_ok | nn Temporal Variability | 0.109561 | -0.546314 | -0.368849 | -1.166454 | -0.086734 | -0.809782 | 0.109561 | -1.126519 | -0.154687 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 112 | N10 | digital_ok | ee Shape | 1.190343 | 1.090835 | 1.190343 | -0.070189 | -0.049217 | -0.387616 | -0.047033 | -0.928687 | -1.622757 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 112 | N10 | digital_ok | nn Shape | nan | nan | nan | inf | inf | nan | nan | nan | nan |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 112 | N10 | digital_ok | ee Temporal Variability | 2.752180 | 0.000016 | -0.223842 | -0.663723 | -0.926048 | 1.780128 | 2.752180 | -1.155651 | -0.835322 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 112 | N10 | digital_ok | ee Temporal Variability | 1.998231 | -0.404683 | 0.607072 | 0.165977 | -0.002638 | 0.732597 | 1.998231 | -0.382334 | -0.765154 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 112 | N10 | digital_ok | nn Temporal Variability | 0.621008 | -1.243505 | -0.497608 | -0.852050 | -0.318049 | -0.441135 | 0.621008 | -0.337279 | -1.009985 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 112 | N10 | digital_ok | ee Shape | 0.877494 | 0.877494 | 0.783602 | 0.313924 | 0.069880 | 0.275755 | 0.127927 | -1.236599 | -0.579634 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 112 | N10 | digital_ok | ee Temporal Variability | 1.540686 | -1.019285 | -0.220304 | -0.680415 | 0.174072 | 1.540686 | -0.186831 | -0.215753 | -1.451230 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 112 | N10 | digital_ok | nn Power | 0.675657 | 0.080341 | -0.238478 | 0.675657 | -0.294787 | 0.565873 | -0.476476 | -1.560556 | -0.471302 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 112 | N10 | digital_ok | nn Power | 0.527513 | -0.165695 | -1.064142 | 0.527513 | -0.317061 | -1.188114 | 0.015139 | -1.569387 | -0.562633 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 112 | N10 | digital_ok | nn Power | 1.451862 | -0.262457 | -0.403197 | -0.472126 | 1.451862 | -0.535376 | -0.537901 | -0.506288 | -1.372603 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 112 | N10 | digital_ok | nn Power | 1.019675 | -0.144399 | -0.761529 | 1.019675 | -0.635034 | -0.771069 | 0.327517 | -1.314160 | -0.689917 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 112 | N10 | digital_ok | ee Temporal Discontinuties | 0.848594 | -0.052282 | -0.643636 | -0.201119 | -0.440330 | 0.079025 | 0.635984 | 0.270922 | 0.848594 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 112 | N10 | digital_ok | ee Temporal Discontinuties | 2.014010 | -0.421671 | -0.193962 | -0.302487 | -0.176963 | 1.003177 | 0.615896 | 2.014010 | 1.590037 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 112 | N10 | digital_ok | nn Power | 0.626505 | -0.568193 | -0.707099 | 0.626505 | -0.893045 | -0.758145 | -0.395276 | -1.372948 | -0.592885 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 112 | N10 | digital_ok | nn Power | 1.064943 | -0.435493 | 0.047363 | -0.786527 | 1.064943 | 0.214928 | -0.204375 | 0.188030 | -0.723731 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 112 | N10 | digital_ok | nn Power | 1.356829 | -0.268183 | -0.878141 | 1.356829 | -0.803311 | 0.761421 | 1.232235 | 0.011930 | 0.733019 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 112 | N10 | digital_ok | nn Power | 1.293290 | 0.061474 | -0.243520 | -0.535920 | 1.293290 | -0.682635 | -0.058704 | -0.667402 | -1.391529 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 112 | N10 | digital_ok | nn Power | 0.677024 | -0.535610 | -0.476118 | -0.529023 | 0.677024 | 0.340369 | -0.194575 | -0.224198 | -0.473269 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 112 | N10 | digital_ok | nn Power | 0.008904 | -0.265314 | -1.142115 | 0.008904 | -0.645989 | -0.678762 | -0.377935 | -1.008714 | -0.261776 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 112 | N10 | digital_ok | nn Power | 0.125450 | -0.093858 | -0.674690 | 0.125450 | -0.568554 | -1.397788 | -0.141303 | -1.016663 | -0.575744 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 112 | N10 | digital_ok | nn Shape | nan | nan | nan | nan | nan | nan | nan | nan | nan |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 112 | N10 | digital_ok | nn Power | 0.968763 | -0.303569 | -0.090831 | 0.968763 | -0.636764 | -0.302046 | -0.775289 | -1.468942 | -0.618848 |